BraTs Image Dataset
Versions
2023-07-23 10:47am
v10
Jul 23, 2023
2023-07-23 10:47am
v9
Jul 23, 2023
2023-07-23 10:47am
v8
Jul 23, 2023
2023-07-23 10:47am
v7
Jul 23, 2023
2023-07-23 10:47am
v6
Jul 23, 2023
2023-07-23 10:45am
v5
Jul 23, 2023
2023-07-23 10:41am
v4
Jul 23, 2023
2023-05-17 2:06pm
v3
May 17, 2023
2023-05-17 1:56pm
v2
May 17, 2023
2023-05-14 8:26pm
v1
May 14, 2023
v10
2023-07-23 10:47am
Generated on Jul 23, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
4932 Total Images
View All Images
Dataset Split
Train Set 87%
4314Images
Valid Set 8%
410Images
Test Set 4%
208Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
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